The efficacy of band weighting schemes for improving the accuracy and precision of water quality parameters estimated from MERIS and MODIS image data
Paper
Paper/Presentation Title | The efficacy of band weighting schemes for improving the accuracy and precision of water quality parameters estimated from MERIS and MODIS image data |
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Presentation Type | Paper |
Authors | Campbell, Glenn (Author) and Phinn, Stuart (Author) |
Journal or Proceedings Title | Proceedings of the 14th Australasian Remote Sensing and Photogrammetry Conference incorporating the North Australian Remote Sensing and GIS Conference |
Number of Pages | 12 |
Year | 2008 |
Place of Publication | Australia |
Conference/Event | 14th Australasian Remote Sensing and Photogrammetry Conference Incorporating the North Australian Remote Sensing and GIS Conference |
Event Details | 14th Australasian Remote Sensing and Photogrammetry Conference Incorporating the North Australian Remote Sensing and GIS Conference Event Date 29 Sep 2008 to end of 03 Oct 2008 Event Location Darwin, Australia |
Abstract | [Abstract]: Optical remote sensing has been used to map and monitor water quality parameters such as the concentrations of hydrosols (chlorophyll and other pigments, total suspended material, and coloured dissolved organic matter). One approach to estimate hydrosol concentrations is to apply a Matrix Inversion Method (MIM) to the reflectance in each band, creating a system of linear equations, and then apply a least squares method to solve for the hydrosol concentrations. The accuracy and precision of this method depends on the width, position and inherent noise in the spectral bands of the sensor being employed, as well as the radiometric corrections applied to images to calculate the subsurface The Hydrolight® radiative transfer model and typical hydrosol concentrations from Wivenhoe Dam, a large freshwater storage in South East Queensland, were used to simulate 1089 reflectance spectra for MERIS and MODIS images acquired at two sun positions. The accuracy and precision of hydrosol concentrations derived from each weighting regime were evaluated after errors associated with the air-water interface correction, atmospheric correction and the IOP measurement were modelled and applied to the simulated reflectance spectra. The technique showed the ability of a weighting regime to alleviate the effect of these errors and was used as a measure of a regime’s efficacy. The results of this study will be used to improve an algorithm for the remote sensing of water quality for freshwater impoundments. |
Keywords | reamote sensing, water, least squares, algal blooms, sediment |
ANZSRC Field of Research 2020 | 401304. Photogrammetry and remote sensing |
Public Notes | No evidence of copyright restrictions. |
Byline Affiliations | University of Queensland |
https://research.usq.edu.au/item/9yy7y/the-efficacy-of-band-weighting-schemes-for-improving-the-accuracy-and-precision-of-water-quality-parameters-estimated-from-meris-and-modis-image-data
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